Automated System Design for Availability
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Balance of Power: Dynamic Thermal Management for Internet Data Centers
IEEE Internet Computing
Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
ATC'07 2007 USENIX Annual Technical Conference on Proceedings of the USENIX Annual Technical Conference
Data analysis, visualization and knowledge discovery in sustainable data centers
Proceedings of the 2nd Bangalore Annual Compute Conference
Sustainable operation and management of data center chillers using temporal data mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
DEEP-SaM - Energy-Efficient Provisioning Policies for Computing Environments
GECON '09 Proceedings of the 6th International Workshop on Grid Economics and Business Models
Sustainable data centers: enabled by supply and demand side management
Proceedings of the 46th Annual Design Automation Conference
Temporal data mining approaches for sustainable chiller management in data centers
ACM Transactions on Intelligent Systems and Technology (TIST)
Low-energy automated scheduling of computing resources
Proceedings of the 1st ACM/IEEE workshop on Autonomic computing in economics
Data mining for modeling chiller systems in data centers
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
Visual exploration of frequent patterns in multivariate time series
Information Visualization - Special issue on Visualization and Data Analysis 2011
A visual analytics approach for peak-preserving prediction of large seasonal time series
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
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The demand for data center solutions with lower total cost of ownership and lower complexity of management is driving the creation of next generation datacenters The information technology industry is in the midst of a transformation to lower the cost of operation through consolidation and better utilization of critical data center resources. Successful consolidation necessitates increasing utilization of capital intensive "always-on" data center infrastructure, and reducing the recurring cost of power. A need exists, therefore for an end to end methodology that can be used to design and manage dense data centers and determine the cost of operating a data center. The chip core to the cooling tower model must capture the power levels and thermo-fluids behavior of chips, systems, aggregation of systems in racks, rows of racks, room flow distribution, air conditioning equipment, hydronics, vapor compression systems, pumps and heat exchangers. Earlier work has outlined the foundation for creation of a "smart" data center through use of flexible cooling resources and a distributed sensing and control system that can provision the cooling resources based on the need. This paper shows a common platform which serves as an evaluation and basis for policy based control engine for such a "smart" data center with much broader reach -- from chip core to the cooling tower. In this paper, we propose a data center solution, which has three components: Cooling, Power and Compute. These three components collectively improve efficiency and manageability of the data center by supporting greater compaction, flexible building blocks that can be dynamically configured, dynamic optimization, better monitoring and visualization, and policy-based control. Coefficient of performance (COP) of the ensemble is defined that represents an overall measure of the efficiency of performance of energy flow during the operation of a data center.